How can we load a text file with tab delimited values but with no fixed column size in the way that the missing values are skipped completely ending up with a list/array or whatever container containing numpy arrays for each line (or a whole numpy array? -> might be impossible, because numpy needs fixed sizes)?

Is this only possible by reading in each line with python and then converting with loadtxt the line into a 1D array?